Perplexed by concurrency? Don’t be. This engaging, fully-illustrated beginner’s guide gets you writing the kind of high-performance code your apps deserve. Inside, you’ll find thorough explanations of concurrency’s core concepts—all explained with interesting illustrations, insightful examples, and detailed techniques you can apply to your own projects. In you will: Discover effective concurrency practices that will help you leverage multiple cores, excel with high loads, handle terabytes of data, and continue working after hardware and software failures. The core concepts in this guide will remain eternally relevant, whether you’re building web apps, IoT systems, or handling big data. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. Concurrency is an approach to running computer programs efficiently by separating them into tasks that can execute independently. This basic idea makes it possible to accelerate game graphics, train large AI models, rapidly scale web applications, streamline big data processing, and much more. Concurrency can get complicated, so this book gets you started gently with interesting examples, entertaining illustrations, and easy-to-follow Python code. is a perfectly paced introduction to the fundamentals of concurrent, parallel, and asynchronous programming. In it, you’ll learn the practices you’ll need to program multicore processors, GPUs, and other high-performance systems. Author Kirill Bobrov skips the math, jargon, and academic language and concentrates on clear, plain-English explanations. Examples in Python. No prior experience with concurrency or high-performance computing required. is a software engineer with a passion for data engineering. Part 1 The Octopus Orchestra: Introduction to a Symphony of Concurrency 1 Introducing concurrency 2 Serial and parallel execution 3 How computers work 4 Building blocks of concurrency 5 Interprocess communication Part 2 the Many Tentacles of Concurrency: Multitasking, Decomposition, and Synchronization 6 Multitasking 7 Decomposition 8 Solving concurrency problems: Race conditions and synchronization 9 Solving concurrency problems: Deadlocks and starvation Part 3 Asynchronous Octopuses: a Pizza-making Tale of Concurrency 10 Nonblocking I/O 11 Event-based concurrency 12 Asynchronous communication 13 Writing concurrent applications